# Development Tools

An experimental MCP server developed for the Kafka monitoring tool AKHQ, which helps AI assistants connect and assist users in working with AKHQ

This is a template project for creating custom tools for Cursor IDE, based on the Model Context Protocol (MCP). It provides multiple deployment methods, including Heroku, Docker, and a local Python environment, and supports integration with Cursor IDE via SSE or stdio.

An MCP server template customized for Cursor IDE, supporting multiple deployment methods and enabling the quick creation of custom tools.

Context7 MCP is a service that provides real - time code documentation for AI programming assistants. It directly obtains the latest library documentation and code examples through the Model Context Protocol, solving the problem of LLM using outdated information. It supports installation in multiple development environments and clients.

This project provides a configuration guide for the MCP service integrated with Shortcut, supporting operation in AI development tools such as Windsurf, Cursor, and Claude Code, including installation instructions, FAQs, and local development testing methods.

Create and configure a service project based on the Model Context Protocol (MCP) for API interaction with the flomo note - taking application

The MCP LLMS - TXT Documentation Server is an open - source tool that allows developers to control IDE and application access to llms.txt document resources through the MCP protocol.

The MCP Language Server project aims to provide development assistance tools such as accurate symbol definition, reference lookup, and diagnostic information for large code projects by integrating the features of the Language Server Protocol (LSP), addressing the limitations of LLMs when handling complex code.

The Framelink Figma MCP server is a middleware service that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one-click conversion from design to code.

The ReactBits MCP Server is a Model Context Protocol service that enables AI assistants to access the ReactBits.dev component library. It contains over 135 animated React components and supports functions such as component discovery, smart search, and style selection.

The Icons8 MCP Server provides instant access to over 368,865 icons for AI programming environments, supporting free high-resolution PNG previews and paid SVG downloads. It can be directly integrated into various development tools to quickly obtain icon resources.

A customized MCP server by MiniMax for Coding Plan users, providing AI-driven web search and image analysis tools, optimized specifically for the code development workflow, and can be integrated into MCP clients such as Claude Desktop and Cursor to enhance the programming experience.

A demonstration project of an MCP server based on TypeScript, showing the core concepts implemented through the project management system, including resource query and tool operation functions.

An experimental MCP server for the Nylas API, providing API integration resources and tools

The project introduction includes how to install dependencies, run the service, and notes on building the server.ts file

A verified and secure MCP server collection for various integrations and tasks, covering categories such as REST API integration, research and data, and development tools.

A tool for executing bash commands through an MCP server, allowing client applications to remotely execute commands and obtain output results. Pay attention to security risks.

The MCP server implemented by the VS Code extension provides a standardized context interaction protocol for AI assistants and supports the seamless integration of the development environment and LLMs.

This is an MCP server project based on the OpenAPI specification, supporting automatic generation and multiple transmission modes, and including a complete development toolchain and testing process.

The Aider MCP Server is a bridge connecting AI assistants and the Aider file - editing tool. Through the standardized Model Context Protocol, it provides functions such as file editing, creation, and code extraction, and supports integration with multiple clients.

This is an MCP server project based on the OpenAPI specification, used to handle the model context protocol of specific APIs, supports multiple transmission modes, and includes a complete development and testing toolchain.

This is an MCP server project based on the OpenAPI specification, supporting multiple transmission modes and including a complete development toolchain and testing process.

An MCP server starter project based on TypeScript, providing a simple echo service implementation, supporting tool, resource, and prompt template functions, including a development server and debugging tools, suitable for local development and remote deployment.

Project startup involves creating a virtual environment, synchronizing dependencies, and running a development server. Pay attention to code hot reload and API key management, and refer to other MCP service implementations.

This is an MCP server project based on the OpenAPI specification, used for the Google Fitness API, supporting automatic generation and multiple transport modes.

An MCP service based on a GitHub template for running Shell scripts via commands in Cursor.

The tutorial guides you on how to deploy both Go and Node MCP servers in VS Code and conduct test development as a client.

A VS Code extension that implements the MCP protocol server, allowing AI clients to directly operate the code editor

Documentation project for the MCP server implemented by Python SDK, providing guides for development environment configuration and methods for client integration

This is an unofficial MCP server for the Mapy.cz API. Developers need to comply with Mapy.cz's terms of use.